The activities within LINK-SIC concern industry-oriented research within areas of vital importance for Swedish system-building industry. This industry sector is crucial for the growth and economical sustainability of the country, and Sweden has a number of successful companies competing on the global market.
LINK-SIC encompasses several of the largest of these companies (ABB Corporate Research, ABB Cranes, ABB Robotics, Atlas Copco Industrial Technique, Saab Aeronautics, and Scania) together with several small and medium-size enterprises (Actia Nordic, Alelion, Senion, and UMS Skeldar). The companies develop products, which sometimes are referred to as cyber-physical systems, in which mechanical and electronic hardware is combined with software, executing model-based algorithms for control and processing of sensor signals.
Four main application areas — Automotive Systems, Aerial Vehicles, Marine Vessels and Mechanical Manipulators — are studied within LINK-SIC and some of the challenges that are addressed concern sustainability, safety, reliability, autonomy, ease-of-use, and man-machine interaction. The application challenges are addressed using the core competences of the center — Sensor Fusion, Data-Driven Modelling, Learning Methods for Control, Control-Oriented Physical Modelling and Optimization for Control Applications.
LINK-SIC encompasses several of the largest of these companies (ABB Corporate Research, ABB Cranes, ABB Robotics, Atlas Copco Industrial Technique, Saab Aeronautics, and Scania) together with several small and medium-size enterprises (Actia Nordic, Alelion, Senion, and UMS Skeldar). The companies develop products, which sometimes are referred to as cyber-physical systems, in which mechanical and electronic hardware is combined with software, executing model-based algorithms for control and processing of sensor signals.
Four main application areas — Automotive Systems, Aerial Vehicles, Marine Vessels and Mechanical Manipulators — are studied within LINK-SIC and some of the challenges that are addressed concern sustainability, safety, reliability, autonomy, ease-of-use, and man-machine interaction. The application challenges are addressed using the core competences of the center — Sensor Fusion, Data-Driven Modelling, Learning Methods for Control, Control-Oriented Physical Modelling and Optimization for Control Applications.
